Datalab Open-Sources Indra, a 1M-Parameter OCR Model Hitting 49 Pages/sec on CPU
Datalab founder Vik Paruchuri open-sourced Indra, a tiny OCR model with only 1 million parameters that runs at 49 pages per second on CPU, claimed to be 11x faster than PaddleOCR and 17x faster than Tesseract. Weights are publicly available on Hugging Face with one-step pip installation, potentially lowering the compute barrier for large-scale document processing.
Confirmed
- Indra has 1M parameters and reaches 49 pages/sec on CPU; the author's benchmarks show it 11x faster than PaddleOCR and 17x faster than Tesseract, backed by OmniParseBench
- Supports 60 languages across 6 scripts, plus a math mode; targeted at low-latency CPU scenarios such as RAG ingestion, search indexing, and LLM front-end triage
- Available via Hugging Face weights (datalab-to/indra-ocr, openrail license, 18MB ONNX model), plus code and a blog post
- Easy to use: pip install indra-ocr; a local test tool indra-ocr-viewer lets users check recognition speed and parameter settings
- The author says Indra will keep improving, with plans for more languages and better accuracy
Why it matters
- Traditional OCR is slow on CPU; Indra delivers an order-of-magnitude speedup with a minimal parameter count, lowering compute costs for document digitization, RAG ingestion, and search indexing at scale
- Its 18MB size and pip-installable deployment make it easy to embed in production pipelines
2026-10-14 ~ 2026-10-14 · 6 related posts
Primary sources
- [source] Datalab releases Indra, a 1M-param OCR model running 49 pages/s on CPU — VikParuchuri · 2026-10-14
- [source] Indra OCR open-sourced: 18MB ONNX model, pip install, 14 languages — VikParuchuri · 2026-10-14
- [source] Datalab releases Indra, a low-latency CPU OCR model with 60-language and math support — VikParuchuri · 2026-10-14
- Indra OCR ships with a local viewer to test speed and settings in two pip commands — VikParuchuri · 2026-10-14
- Indra OCR ships on pip with a built-in viewer to test speed and settings — VikParuchuri · 2026-10-14
1 near-duplicate retellings: soldni